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رجوعAI voice startup Vapi raises $50 million Series B following Amazon Ring deployment
AI voice startup Vapi raises $50 million Series B following Amazon Ring deployment
خبر
TechCrunch12‏/5‏/2026Business3 د قراءةUnited States

AI voice startup Vapi raises $50 million Series B following Amazon Ring deployment

The company, which now handles millions of daily calls for enterprise clients, reached a $500 million valuation.

نظرة سريعة

  • AI voice infrastructure startup Vapi has raised $50 million in Series B funding at a $500 million valuation.
  • The company, which powers Amazon Ring's inbound customer support, plans to use the capital to scale its engineering and go-to-market operations.

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Amazon Ring, facing a surge in customer-support calls during last year’s holiday season, evaluated more than 40 AI voice vendors before choosing startup Vapi to handle its inbound phone traffic. Today, Ring routes 100% of its inbound calls through Vapi’s platform.

That deployment helped Vapi raise a $50 million Series B led by Peak XV Partners at a valuation of around $500 million after investment, according to a person familiar with the matter.

Ring turned to Vapi in mid-Q4 last year, when it was weighing whether to expand call-center capacity, rely more heavily on traditional automated phone systems, or deploy AI agents that could respond more naturally to customers, Vapi Chief Executive Jordan Dearsley told TechCrunch. Dearsley believes Ring chose Vapi because it offered Ring engineers granular control over how the AI agents behaved in live customer interactions.

Jason Mitura, vice president of software development at Amazon Ring, said Ring’s customer satisfaction scores improved after deploying Vapi’s platform and that the company’s teams were able to tune the AI agent experience without depending on engineering. “A lot of AI tools promise great outcomes — Vapi has delivered on them,” he said.

Founded by Dearsley and his University of Waterloo classmate Nikhil Gupta, Vapi grew out of an AI therapist Dearsley built in 2023 for conversations during his daily walks. The pair, who had gone through Y Combinator with productivity startup Superpowered, found that while few people wanted the therapy product itself, startups were increasingly interested in the low-latency voice infrastructure underneath it. This led them to pivot to Vapi and launch the platform publicly in 2024.

Vapi provides tools for companies to build, deploy, and manage voice agents across customer support, lead qualification, appointment scheduling, and outbound sales.

The startup says it has now handled more than 1 billion calls through its platform, with usage accelerating as enterprises move more customer interactions onto AI systems. Vapi, Dearsley said, currently processes between 1 million and 5 million calls a day, with enterprise customers accounting for the bulk of that volume.

In addition to Amazon Ring, Vapi's enterprise customers include Kavak, Instawork, New York Life, UnityAI, Cherry, and Intuit. The startup also operates a self-serve developer platform that has been used by more than 1 million developers.

"Because we started from self-serve and had such a wide developer footprint, we were already battle-tested at significant scale before we signed our first major enterprise customer," Dearsley said.

Other investors participating in the Series B round included Microsoft's M12, Kleiner Perkins, and Bessemer Venture Partners, bringing Vapi's total funding to $72 million. The startup is currently at an annual recurring revenue run rate in the "healthy" eight figures, an investor source told TechCrunch.

Vapi is part of a growing wave of AI voice startups that includes Sierra, Decagon, PolyAI, Bland, Retell, and ElevenLabs, as companies race to build systems capable of handling customer conversations with minimal human involvement. Dearsley said Vapi differentiates itself by focusing less on pre-packaged applications and more on the infrastructure and orchestration layer behind voice agents, particularly for enterprises that want greater control over reliability, compliance, and model behavior.

The startup currently has around 100 employees and plans to use the new funding to expand its engineering, infrastructure, and go-to-market teams.

"The golden problem is taking this indeterminate beast that is a model and taming it," Dearsley said. "If you can do that, then you can provide value to the world."

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This article was originally published by TechCrunch.

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